104 citations · 184 across the 5 of their papers we have counts for
6 papers
Low-dimensional statistical manifold embedding of directed graphs
Thorben Funke, Tian Guo, Alen Lancic +1
We propose a novel node embedding of directed graphs to statistical manifolds, which is based on a global minimization of pairwise relative entropy and graph geodesics in a non-lin…
Identification of Patient Zero in Static and Temporal Networks - Robustness and Limitations
Nino Antulov-Fantulin, Alen Lancic, Tomislav Smuc +2
Detection of patient-zero can give new insights to the epidemiologists about the nature of first transmissions into a population. In this paper, we study the statistical inference…
Statistical inference framework for source detection of contagion processes on arbitrary network structures
Nino Antulov-Fantulin, Alen Lancic, Hrvoje Stefancic +2
In this paper we introduce a statistical inference framework for estimating the contagion source from a partially observed contagion spreading process on an arbitrary network struc…
FastSIR Algorithm: A Fast Algorithm for simulation of epidemic spread in large networks by using SIR compartment model
Nino Antulov-Fantulin, Alen Lancic, Hrvoje Stefancic +1
The epidemic spreading on arbitrary complex networks is studied in SIR (Susceptible Infected Recovered) compartment model. We propose our implementation of a Naive SIR algorithm fo…
Epidemic centrality - is there an underestimated epidemic impact of network peripheral nodes?
Mile Sikic, Alen Lancic, Nino Antulov-Fantulin +1
In the study of disease spreading on empirical complex networks in SIR model, initially infected nodes can be ranked according to some measure of their epidemic impact. The highest…
Phase diagram of epidemic spreading - unimodal vs. bimodal probability distributions
Alen Lancic, Nino Antulov-Fantulin, Mile Sikic +1
The disease spreading on complex networks is studied in SIR model. Simulations on empirical complex networks reveal two specific regimes of disease spreading: local containment and…